{
 "cells": [
  {
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   "metadata": {},
   "source": [
    "# API 文档介绍（Face++ API）\n",
    "## 本周主要内容：图像识别（认知服务）\n",
    "* 22春_API_人工智能与机器学习_week05\n",
    "* 电子讲义记录者：刘智慧\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4636f804",
   "metadata": {},
   "source": [
    "# 百度AI开放平台\n",
    "## 通用物体和场景识别"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e7bd7e02",
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid character in identifier (<ipython-input-1-433a6e1c5b45>, line 2)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-1-433a6e1c5b45>\"\u001b[1;36m, line \u001b[1;32m2\u001b[0m\n\u001b[1;33m    该请求用于通用物体及场景识别，即对于输入的一张图片（可正常解码，且长宽比适宜），输出图片中的多个物体及场景标签。\u001b[0m\n\u001b[1;37m                                                           ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid character in identifier\n"
     ]
    }
   ],
   "source": [
    "接口描述\n",
    "该请求用于通用物体及场景识别，即对于输入的一张图片（可正常解码，且长宽比适宜），输出图片中的多个物体及场景标签。\n",
    "\n",
    "在线调试\n",
    "您可以在 API Explorer 中调试该接口，可进行签名验证、查看在线调用的请求内容和返回结果、示例代码的自动生成。\n",
    "\n",
    "请求说明\n",
    "请求示例\n",
    "\n",
    "HTTP 方法：POST\n",
    "\n",
    "请求URL： https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "59edc3d7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'refresh_token': '25.4087757a833ad1332a92161d13b3d58f.315360000.1963916052.282335-25869149', 'expires_in': 2592000, 'session_key': '9mzdXqOqcehiO8u9qfh0O/yl0FhisnoFpmjNTw2Sk8zI+Dhrds/qruNsQJoyZWVHccFOA9gWuJBgstYwif7QZgrjDCr/kg==', 'access_token': '24.ef9f3c80fbf6dc316ffa58ca7041f797.2592000.1651148052.282335-25869149', 'scope': 'public vis-classify_dishes vis-classify_car brain_all_scope vis-classify_animal vis-classify_plant brain_object_detect brain_realtime_logo brain_dish_detect brain_car_detect brain_animal_classify brain_plant_classify brain_ingredient brain_advanced_general_classify brain_custom_dish brain_poi_recognize brain_vehicle_detect brain_redwine brain_currency brain_vehicle_damage brain_multi_ object_detect wise_adapt lebo_resource_base lightservice_public hetu_basic lightcms_map_poi kaidian_kaidian ApsMisTest_Test权限 vis-classify_flower lpq_开放 cop_helloScope ApsMis_fangdi_permission smartapp_snsapi_base smartapp_mapp_dev_manage iop_autocar oauth_tp_app smartapp_smart_game_openapi oauth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi smartapp_opensource_recapi fake_face_detect_开放Scope vis-ocr_虚拟人物助理 idl-video_虚拟人物助理 smartapp_component smartapp_search_plugin avatar_video_test b2b_tp_openapi b2b_tp_openapi_online', 'session_secret': '44dc244b1fa416caf379563c94c020da'}\n"
     ]
    }
   ],
   "source": [
    "# encoding:utf-8\n",
    "import requests \n",
    "\n",
    "# client_id 为官网获取的AK， client_secret 为官网获取的SK\n",
    "host = 'https://aip.baidubce.com/oauth/2.0/token?'\n",
    "payload = {\n",
    "    'grant_type':'client_credentials',\n",
    "    'client_id':'8Og1dSh61Kb9ckSoKo22KwEA',\n",
    "    'client_secret':'L0RLWpiqkDca6DcdgBYkrMct14NtgKBA'\n",
    "}\n",
    "response = requests.get(host,params=payload)\n",
    "if response:\n",
    "    print(response.json())\n",
    "    access_token = response.json()['access_token']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e295d36c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'24.ef9f3c80fbf6dc316ffa58ca7041f797.2592000.1651148052.282335-25869149'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "access_token"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c53d181",
   "metadata": {},
   "source": [
    "* 请求参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6fc56960",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6f9a2990",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>参数</th>\n",
       "      <th>是否必选</th>\n",
       "      <th>类型</th>\n",
       "      <th>可选值范围</th>\n",
       "      <th>说明</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>image</td>\n",
       "      <td>和url二选一</td>\n",
       "      <td>string</td>\n",
       "      <td>-</td>\n",
       "      <td>图像数据，base64编码，要求base64编码后大小不超过4M，最短边至少15px，最长边...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>url</td>\n",
       "      <td>和image二选一</td>\n",
       "      <td>string</td>\n",
       "      <td>-</td>\n",
       "      <td>图片完整URL，URL长度不超过1024字节，URL对应的图片base64编码后大小不超过4...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>baike_num</td>\n",
       "      <td>否</td>\n",
       "      <td>integer</td>\n",
       "      <td>-</td>\n",
       "      <td>返回百科信息的结果数，默认不返回</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          参数       是否必选       类型 可选值范围  \\\n",
       "0      image    和url二选一   string     -   \n",
       "1        url  和image二选一   string     -   \n",
       "2  baike_num          否  integer     -   \n",
       "\n",
       "                                                  说明  \n",
       "0  图像数据，base64编码，要求base64编码后大小不超过4M，最短边至少15px，最长边...  \n",
       "1  图片完整URL，URL长度不超过1024字节，URL对应的图片base64编码后大小不超过4...  \n",
       "2                                   返回百科信息的结果数，默认不返回  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_html('https://ai.baidu.com/ai-doc/IMAGERECOGNITION/Xk3bcxe21')[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0e34f9c3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'error_code': 18, 'error_msg': 'Open api qps request limit reached'}\n"
     ]
    }
   ],
   "source": [
    "# encoding:utf-8\n",
    "\n",
    "import requests\n",
    "import base64\n",
    "\n",
    "'''\n",
    "通用物体和场景识别\n",
    "'''\n",
    "\n",
    "request_url = \"https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general\"\n",
    "# 二进制方式打开图片文件\n",
    "# 1.图片文件准备\n",
    "f = open('xihu.jpg', 'rb')\n",
    "img = base64.b64encode(f.read())\n",
    "\n",
    "# 2. 酬载准备\n",
    "payload={\n",
    "    'access_token':access_token,\n",
    "    'image':img,\n",
    "   \n",
    "}\n",
    "\n",
    "headers = {'content-type': 'application/x-www-form-urlencoded'}\n",
    "response = requests.post(request_url, data=payload, headers=headers)\n",
    "if response:\n",
    "    print (response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7241429f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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